Replication of below article’s Data and Visualizations
“Has International Travel to the U.S. Really Collapsed?
By Josh Holder, Niraj Chokshi and Samuel Granados”
Karim K. Kardous

#|echo: false
#|message: false
#|warning: false
#|include: false
# check if the required package 'emo' is installed;
# if not, it might mean your renv environment is not fully restored.
# running `renv::restore()` will install all necessary packages
# to ensure consistent package versions for building this quarto document,
# effectively 'containerizing' your project and protecting it from future package changes.
if (!requireNamespace("emo", quietly = TRUE)) {
  message("\nIt looks like your environment might not be restored.\nRun `renv::restore()` to install required packages.\n")
}

# load packages
library(xml2)
library(downlit)
library(gdtools)
library(tidyverse)
library(quarto)
library(chromote)
library(here)
library(tidycensus)
library(janitor)
library(purrr)
library(ggtext)
library(ggshadow)
library(ggiraph)
library(gfonts)
library(showtext)
library(ggborderline)
library(grid)
library(patchwork)
library(shiny)
library(gt)
library(rsvg)
library(magick)
library(stringr)
library(ggimage)
library(emo)


font_add(family = "franklin-medium", regular = "renv/library/macos/R-4.5/aarch64-apple-darwin20/sysfonts/fonts/Libre_Franklin/static/LibreFranklin-Medium.ttf") 

theme_set_custom <- function() {
  
  # load google fonts 
  sysfonts::font_add_google("Libre Franklin", "franklin") # libre franklin is a solid free alternative to an otherwise proprietary nyt-franklin
  # local font; for rare cases where requiring midway bettween plain and bold
  sysfonts::font_add(family = "franklin-medium", regular = "renv/library/macos/R-4.5/aarch64-apple-darwin20/sysfonts/fonts/Libre_Franklin/static/LibreFranklin-Medium.ttf") # this is a closer match to plot subtitles for first visual
  showtext::showtext_auto()

  # apply ggplot2 theme; can always be overwritten
  ggplot2::theme_set(
    ggplot2::theme_minimal()
    )
}

theme_set_custom()

International Travel Into the US Prelude

About the data/article in a nutshell: This New York Times article, backed by numbers from government agencies for the US & Canada, attempts to show whether International Travel into the US has dipped as a result of President Trump’s administration and policies relating to broad tariffs, tight border control, etc.
The main takeaway is that while travel originating from Asia into the United States has timidly increased, that from Europe has stalled, meanwhile that of Canada has sharply decreased, especially when it comes to car crossings into the US; relative to air travel.
Despite a drastic drop for US bound travel from Canada, overall, travel into the United States has remained fairly undisturbed.

If you like to give the original article a read, you can find it here.

Overall Strategy for building first plot: One way to recreate the first visual; which shows in a report-card style the % change in flight bookings into the US comparing (Jan 1st through April 26, 2024) to (same period this year), and looking at 1) overall (International), 2) European, 3) Asian, and 4) Canadian inbound travel; is to generate 4 tiles with a subtle vertical tick/separator between each of those said 4 percentages. The time frame of visits for both years covers Summer; which allows for ‘apples to apples’ comparisons but also focuses on an upcoming period of the year - very near future, meaning that said bookings are more likely than not to be definitive for a vast majority of them. Below I share code and output for said method.

#|echo: false
#|message: false
#|warning: false
#|include: true

theme_set_custom()

p1_tribble <- tribble(
  ~perc_change, ~label, ~region, ~fill, ~width_cm, ~ length_cm, 
  '-1.5%', 'International arrivals\n at U.S. airports', 'International','#969696', 170 / 300 * 2.54, 80 / 300 * 2.54, # converting into actual cm, controlling for resolution set (300 or print quality)
  '-2%', 'Summer flight\n bookings from Europe', 'Europe', '#969696', 130 / 300 * 2.54, 77 / 300 * 2.54,
  '+4%', 'Summer flight\n bookings from Asia', 'Asia', '#2b9d6c', 130 / 300 * 2.54, 77/ 300 * 2.54,
  '-21%', 'Summer flight\n bookings from Canada', 'Canada', '#d65f00', 164 / 300 * 2.54, 77 / 300 * 2.54
)

# here i go for an interactive process whereby each plot is created separately in a list of plots; one main reason is that the boxes/rectangles are of different sizes. 
tile_plot_rounded <- function(perc_change, label_text, fill, width_cm, length_cm, scaler = 3) { # 3 was best here
  library(grid) # for some reason, roundrectGrob() wasn't running without first loading grid here too (even if called earlier when loading all packages)
  ggplot() +
    ggtitle(label_text) + # set the label as thes plot sub-title
    annotation_custom(
      grob = roundrectGrob(
        width = unit(width_cm * scaler, "cm"),    
        height = unit(length_cm * scaler, "cm"), 
        r = unit(0.1, "npc"),  # corner radius, the higher the values the more prononcoumced the roundedness
        gp = gpar(fill = fill, col = NA)
      ),
      xmin = 0, xmax = 6, ymin = 0, ymax = 3
    ) +
    annotate(
    "text", 
      x = 3, y = 1.5,
      hjust = 0.5, vjust = 0.5,
      size = 10, # text size for perc_change
      label = perc_change,
      color = 'white', 
      family = 'franklin',
      fontface = 'bold'
    ) +
    xlim(0, 6) + ylim(0, 3) +
    coord_fixed(ratio = 1) + 
    theme_void() +
    theme(
      plot.margin = margin(4, 2, 2, 2), # small margins add around each plot for more subtitle room
      plot.title = element_text(hjust = 0.5, size = 14, family = 'franklin-medium', margin = margin(b = 5)) # this is a midway font face between plain and bold
    )
}
# loop through labels, fills, and dimensions, and including 'label' for the title
tile_plots <- pmap(
  list(
    perc_change = p1_tribble$perc_change,
    label_text = p1_tribble$label, 
    fill = p1_tribble$fill,
    width_cm = p1_tribble$width_cm,
    length_cm = p1_tribble$length_cm
  ),
  tile_plot_rounded 
)

# assign one row so that all plots are side by side and not potentially stacked (vertically)
p1 <- wrap_plots(
  tile_plots, nrow = 1
) 
# adds after wrap a title
p_final <- p1 + 
  plot_annotation(
    title = 'Travel compared with last year',
    caption = 'Sources: U.S. Customs and Border Protection and the Airlines Reporting Corporation',
    theme = theme(
      plot.title = element_text(size = 20, family = 'franklin', face = "bold", hjust = 0.5, margin = margin(t = -10, b = 10)),
      plot.caption = element_text(size = 9, family = 'franklin-medium', colour = '#727272', hjust = 0.15)
      )
  ) 
p_final